Python Charts & Graphs for your web analytical applications using Django. Library lets you visualize data using 30+ chart types like line, column, bar, pie, financial, etc. Graphs are high performing & can render hundred of thousands of datapoints without any lag. Below are list of Python Chart examples built using Django framework that shows key features & different chart types supported. Demo also includes python source code that you can try out locally.
Add Line, Spline & Step Line Charts to your Python Application.
Add Bar, Stacked Bar, Stacked Bar 100% to your Python Application.
Add Column, Stacked Column & Stacked Column 100% to your Python Application.
Add Pie & Doughnut / Donut Charts to your Python Application.
Add Area, Spline Area, Stacked Area, Stacked Area 100%, Stacked Spline Area 100% to your Python Application.
Add Range Column, Range Bar, Range Area, Range Spline Area, etc. to your Python Application.
Add Bubble and Scatter Charts to your Python Application.
Add Funnel & Pyramid Charts to your Python Application.
Add Candlestick, OHLC, Box & Whisker, Waterfall Charts to your Python Application.
Add Error, Error Line Charts along with combination of many other Charts like Bar, Line, Area, OHLC, etc. to your Python Application
Add Dynamic Charts also known as Real Time or Live Charts to your Python Application.
Add Charts with data from various data sources like CSV, Database, JSON, etc. to your Python Application.
Add Responsive & Interactive Chart to your front-end frameworks like JavaScript, jQuery, React, Angular, etc
Integrates easily with PHP, ASP.NET and many other Libraries and Frameworks.